CN102982550A - Method of solving intrinsic parameters of camera with regular pentagonal prismatic table - Google Patents
Method of solving intrinsic parameters of camera with regular pentagonal prismatic table Download PDFInfo
- Publication number
- CN102982550A CN102982550A CN2012105420062A CN201210542006A CN102982550A CN 102982550 A CN102982550 A CN 102982550A CN 2012105420062 A CN2012105420062 A CN 2012105420062A CN 201210542006 A CN201210542006 A CN 201210542006A CN 102982550 A CN102982550 A CN 102982550A
- Authority
- CN
- China
- Prior art keywords
- point
- camera
- little
- hidden
- picture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses a target used for self-calibrating of a camera and consisting of a regular prismatic table with regular pentagonal bottom surfaces. A method comprises the particular steps as follows: characteristic points on the upper bottom surface and the two side faces of the regular positive pentagonal prismatic table are extracted from an image; coordinates of vanishing points on a plane of the image are solved according to attributes that an intersection point of two parallel straight lines is an infinite point, and a simulacrum of the infinite point is the vanishing point, and according to the attribute of a cross ratio of four collinear points; intrinsic parameters of the camera are solved linearly according to constraint of the orthogonal vanishing points on an absolute conic; two images of the target are shot in different directions; the coordinates of the characteristic points on the images are extracted; the orthogonal vanishing points on the upper bottom surface and the two side faces of the regular positive pentagonal prismatic table are calculated; constraint equations of the orthogonal vanishing points relevant to the intrinsic parameters of the camera are established; and matrixes of the intrinsic parameters of the camera are solved linearly. With the adoption of the target, full automatic calibration can be realized, and errors due to measuring in a calibrating process are reduced. The vanishing points are more concise and global elements, and the accuracy is improved in the calibrating process.
Description
Technical field
The invention belongs to the computer research field, relating to a kind of is the positive terrace with edge target of regular pentagon for a base that solves camera intrinsic parameter, utilize on plane any one positive five terrace with edge as calibrating template, by solving the hidden coordinate disappeared a little of quadrature on two width images, the linear intrinsic parameter of determining video camera.
Background technology
One of basic task of computer vision, the two-dimensional image information obtained from video camera exactly recovers the geological information of object three dimensions, thus the geometric configuration of object in identification and reconstruction of three-dimensional space.Must determine the three-dimensional geometry position of space object point and the mutual relationship between the corresponding point in its image in this process, and this relation is by the geometric model decision of video camera imaging, the parameter of these geometric models is exactly camera parameters.Under most of conditions, these parameters all obtain by experiment, Here it is camera calibration.It generally is divided into tradition and demarcates and two kinds of methods of self-calibration, which kind of scaling method no matter, demarcating object is all to adopt some special geometric models, for example: plane square, triangle, circle, space cube and cylinder etc., how to set up especially certain linear relation of relation between these geometric models and camera parameters, being the target that current camera calibration is pursued, is also one of focus of current computer vision field research.
Although traditional camera marking method can obtain higher precision, but calibrating block is made difficulty, be not easy to operation, for this problem document " A flexible new technique for camera calibration ", (Zhengyou Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, 2000.) proposed to replace with plane template the method for traditional calibrating block, this method is simple and convenient, cost is low, and can obtain higher precision, but the physical coordinates that needs dot matrix on accurate locating template, because hidden disappearing is a little a kind of more succinct more primitive of globalize, thereby can further improve the stability of method, so be widely used with a hidden solution problem of calibrating that disappears, document " Criminisi A, Reid I. and A. Zisserman. Single View Metrology, International Journal of Computer Vision, 2000, 40 (2), pp. 123-148. " utilize the hidden attribute disappeared a little, calculate the intrinsic parameter of video camera from single projected image, the method a little is dissolved into hidden the disappearing in projective geometry in camera calibration first, disappear so hidden and put into the theoretical foundation of camera self-calibration method.
Hidden disappearing is a little a special point on the picture plane, and all parallel lines on plane on certain direction all meet at an infinity point, and infinity point is called hidden disappearing a little in the projection as on plane.Document (king's year, Fan Yizheng, Liang Dong, Wei Sui, " a kind of camera self-calibration method based on isosceles trapezoid ", Southeast China University's journal (natural science edition), vol. 35, no.2, pp. 195-198, 2005.) according to the character of isosceles trapezoid and hidden the disappearing a little in the cross ratio invariability computed image, document (Hu Peicheng, Li Ning, Zhao Liangliang, " a kind of new camera marking method based on end point ", the 13 national image graphics learned academic conference, pp. 1-5, 2006.) utilize the method for a hidden calibrating camera that disappears, according to the intersection point of two parallel lines, are infinity points, the intersection point of the picture of two parallel lines of direct solution completes demarcation.
Summary of the invention
The invention provides a kind of making simple, widely applicable, good stability for solving the target of camera intrinsic parameter.This target be a base be the positive terrace with edge of regular pentagon, in solving the process of camera intrinsic parameter, only need video camera to take from different azimuth 5 intrinsic parameters that 2 width images just can linear solution go out video camera.
The present invention adopts following technical scheme:
The target for camera self-calibration that the positive terrace with edge that the present invention is is regular pentagon by base forms.Concrete step comprises: from image, extract the upper bottom surface of positive five terrace with edges and the unique point on two sides, according to the intersection point of two parallel lines, are infinity points, and the picture of infinity point is called hidden disappearing a little, and the character of 4 double ratios of conllinear, draw the hidden point coordinate that disappears on the plane of delineation, according to quadrature on two width images is hidden, disappear a little to the constraint of absolute conic, the intrinsic parameter of linear solution video camera.
1. the unique point in the extraction image
In Matlab software, utilize the Harris Corner Detection to extract the coordinate of each plane of delineation unique point.
2. ask the hidden coordinate disappeared a little
(1) calculating positive five the hidden of terrace with edge upper bottom surface disappears a little
On a plane of world coordinate system, there are positive five terrace with edges (as Fig. 1), the upper and lower bottom surface of positive five terrace with edges is regular pentagons (as Fig. 2), the angle point of its upper bottom surface is
, the part angle point of bottom surface is
,
It is the center of circle of pentagon incircle.
It is line segment
Mid point,
Perpendicular to
,
Infinity point on direction is made as
Infinity point on direction is made as
.
With
Quadrature.The projection of upper bottom surface as shown in Figure 3,
Be respectively
Picture,
Be respectively
,
Picture, according to the character of 4 double ratios of conllinear, have:
,
, the projective invariance according to corresponding point in projective transformation has:
,
.Thereby can in the hope of
Coordinate.
(2) calculating positive five the hidden of terrace with edge side disappears a little
In a width picture of positive five terrace with edges, we at least can see its two isosceles trapezoids that side is two congruences, as shown in Figure 4,
Be parallel to
,
Be respectively
With
Mid point, and connect
,
Be
Mid point, establish
,
On infinity point be
,
Infinity point on direction is
, as Fig. 5,
Be respectively
Picture,
It is infinity point
Picture point, that is:
,
Hidden disappearing a little on direction,
It is infinity point
Picture point, that is:
Hidden disappearing a little on direction.Because
Be
With
Intersection point, so
, the projective invariance according to corresponding point in projective transformation has:
, according to harmonic conjugates theory in projective geometry:
, according to the cross ratio invariability in projective transformation,
Thereby, solve
Coordinate.In another isosceles trapezoid
In also exist one group of hidden disappearing a little of quadrature, be designated as
,
, computing formula is
,
.
3. solve camera intrinsic parameter
Utilization required hidden disappearing of six groups of quadratures in two width images a little can be listed six equations to the constraint of absolute conic, and linear solution goes out 5 intrinsic parameters, i.e. matrixes of video camera
,
For the distortion factor of image,
In image coordinate system
Axle
The scale factor of axle,
Being the principal point coordinate, is 5 intrinsic parameters of video camera.
Advantage of the present invention:
(1) this target is made simply, and a positive pentagonal pyramid is parallel to the bottom surface cutting, just can draw positive five terrace with edges.
(2) but only need with video camera from different azimuth take two width images just linear solution go out 5 intrinsic parameters of video camera.
(3) method easily is transplanted on the positive terrace with edge that base is the odd number regular polygon.
The accompanying drawing explanation
Fig. 1 is for solving the target structural representation of camera intrinsic parameter.
Fig. 2 is target upper bottom surface structural representation.
Fig. 3 is the hidden resolution principle figure that disappears in the plane of target end face.
Fig. 4 is target side structure schematic diagram.
Fig. 5 is the hidden resolution principle figure disappeared a little in target side.
Embodiment
A kind of for solving the target of camera intrinsic parameter, it is that a base in space is that the positive terrace with edge of regular pentagon forms, as Fig. 1.Completing solving of camera intrinsic parameter with this modulation needs through following steps: the experiment pattern that the hidden camera marking method disappeared a little of quadrature adopts is positive five terrace with edges arbitrarily in space, as shown in Figure 1.Its upper bottom surface is a regular pentagon, and side is the isosceles trapezoid of five congruences, utilizes the method in the present invention to be demarcated the video camera for experiment, and concrete steps are as follows:
1. the unique point in the fitted figure picture
In Matlab software, utilize the Harris corner detection approach to extract the coordinate of image characteristic point.
2. calculate hidden disappearing a little
(1) calculating five the hidden of terrace with edge upper bottom surface disappears a little
On a plane of world coordinate system, there are positive five terrace with edges (as Fig. 1), the upper and lower bottom surface of positive five terrace with edges is regular pentagons (as Fig. 2), the angle point of its upper bottom surface is
, the part angle point of bottom surface is
,
It is the center of circle of pentagon incircle.
It is line segment
Mid point,
Perpendicular to
,
Infinity point on direction is made as
Infinity point on direction is made as
.
With
Quadrature.The projection of upper bottom surface as shown in Figure 3,
Be respectively
Picture,
Be respectively
,
Picture, according to the character of 4 double ratios of conllinear, have:
,
, according to the corresponding projective invariance that should put in projective transformation, have
,
Thereby, try to achieve
Coordinate.
(2) calculate hidden the disappearing a little on positive five terrace with edge sides
In a width picture of positive five terrace with edges, at least can see its two isosceles trapezoids that side is two congruences, as shown in Figure 4,
Be parallel to
,
Be respectively
With
Mid point, and connect
,
Be
Mid point, establish
,
On infinity point be
,
Infinity point on direction is
, as Fig. 5,
Be respectively
Picture,
It is infinity point
Picture point, that is:
,
Hidden disappearing a little on direction,
It is infinity point
Picture point, that is:
Hidden disappearing a little on direction.Because
Be
With
Intersection point, so
, the correspondence according to respective point in projective transformation has:
, according to harmonic conjugates theory in projective geometry:
, according to the cross ratio invariability in projective transformation,
Thereby, solve
Coordinate.In like manner, in another isosceles trapezoid
In also can find one group of hidden disappearing a little of quadrature, be designated as
,
.Computing formula is
,
Obtain
,
.
3. solve camera intrinsic parameter
Obtain two width images, utilize that quadrature is hidden to disappear a little to the constraint of absolute conic, linear solution goes out 5 intrinsic parameters, i.e. matrixes of video camera
,
For the distortion factor of image,
In image coordinate system
,
The scale factor of axle,
It is the principal point coordinate.
Embodiment
The present invention proposes and utilize the positive terrace with edge that on plane, any one base is regular pentagon to determine the intrinsic parameter of video camera as the target linearity, the experiment module that the present invention adopts is positive five terrace with edges, structural representation as shown in Figure 1, is below made more detailed description with an example to embodiment of the present invention.
The experiment pattern that utilizes positive five terrace with edges to solve the camera intrinsic parameter employing is any one positive five terrace with edge on plane, as shown in Figure 1, utilizes the method in the present invention to be demarcated the video camera for experiment, and concrete steps are as follows:
(1) unique point in the fitted figure picture
The image resolution ratio that the present invention adopts is 640 * 480 pixels, with video camera, takes from different directions several experiment pictures, chooses two width picture comparatively clearly, reads in image and in Matlab, utilizes the Harris Corner Detection to extract the coordinate of image characteristic point.
(2) calculate hidden the disappearing a little of positive five terrace with edge upper bottom surface images
On a plane of world coordinate system, there are positive five terrace with edges (as Fig. 1), the upper and lower bottom surface of positive five terrace with edges is regular pentagons (as Fig. 2), the angle point of its upper bottom surface is
, the part angle point of bottom surface is
,
It is the center of circle of pentagon incircle.
It is line segment
Mid point,
Perpendicular to
,
Infinity point on direction is made as
Infinity point on direction is made as
.
With
Quadrature.The projection of upper bottom surface as shown in Figure 3,
Be respectively
Picture,
Be respectively
,
, picture, according to the character of 4 double ratios of conllinear, have:
,
, the projective invariance according to corresponding point in projective transformation has:
,
.Thereby can in the hope of
Coordinate.One group of hidden disappearing of quadrature of the second sub-picture upper bottom surface a little is designated as:
.Computing formula is
,
, can obtain
.
Can calculate two the hidden of width image upper bottom surface by above method and disappear a little, result of calculation is as follows respectively:
The first width image, hidden the disappearing a little of one group of quadrature in upper bottom surface:
The second width image, hidden the disappearing a little of one group of quadrature of upper bottom surface:
(3) calculating positive five the hidden of terrace with edge side image disappears a little
In a width picture of positive five terrace with edges, at least can see its two isosceles trapezoids that side is two congruences, as shown in Figure 4,
Be parallel to
,
Be respectively
With
Mid point, and connect
,
Be
Mid point, establish
,
On infinity point be
,
Infinity point on direction is
, as Fig. 5,
Be respectively
Picture,
It is infinity point
Picture point, that is:
,
Hidden disappearing a little on direction,
It is infinity point
Picture point, that is:
Hidden disappearing a little on direction.Because
Be
With
Intersection point, so
, the correspondence according to respective point in projective transformation has:
, according to harmonic conjugates theory in projective geometry:
, according to the cross ratio invariability in projective transformation,
Thereby, solve
Coordinate.In like manner, in another isosceles trapezoid
In also can find one group of hidden disappearing a little of quadrature, be designated as
,
, computing formula is
,
.Two groups of hidden disappearing of quadrature of second two sides of sub-picture a little are designated as respectively:
With
, computing formula is respectively
,
,
.
Calculate two the hidden of width image side by above method and disappear a little, result of calculation is as follows respectively:
Hidden the disappearing a little of two groups of quadratures of the first width image two sides:
Hidden the disappearing a little of two groups of quadratures on the second sub-picture two sides:
(4) solve camera intrinsic parameter
Totally six groups of hidden coordinates that disappear a little of quadrature on the two width images that obtain through above step, can solve the camera intrinsic parameter matrix linearly
Claims (1)
1. one kind for solving the target of camera intrinsic parameter, it is characterized in that this target is any one positive pentagonal pyramid in space to be parallel to the bottom surface cutting obtain; Concrete step comprises:
(1) calculating positive five the hidden of terrace with edge upper bottom surface disappears a little
On a plane of world coordinate system, there are positive five terrace with edges, the upper and lower bottom surface of positive five terrace with edges is regular pentagons, the angle point of its upper bottom surface is
, the corresponding upper bottom surface of bottom surface
Angle point is
,
It is the center of circle of pentagon incircle;
It is line segment
Mid point,
Perpendicular to
,
Infinity point on direction is made as
Infinity point on direction is made as
.
With
Quadrature; In the projection of upper bottom surface,
Be respectively
Picture,
Be respectively
,
Picture, according to the character of 4 double ratios of conllinear, have:
,
, the projective invariance according to corresponding point in projective transformation has:
,
Thereby can in the hope of
Coordinate;
(2) calculating positive five the hidden of terrace with edge side disappears a little
In a width picture of positive five terrace with edges, we at least can see its two isosceles trapezoids that side is two congruences,
Be parallel to
,
Be respectively
With
Mid point, and connect
,
Be
Mid point, establish
,
On infinite point be
,
Infinite point on direction is
,
Be respectively
Picture,
It is infinite point
Picture point, that is:
,
Hidden disappearing a little on direction,
It is infinite point
Picture point, that is:
Hidden disappearing a little on direction; Because
Be
With
Intersection point, so
, the projective invariance according to corresponding points in projective transformation has:
, according to harmonic conjugates theory in projective geometry:
, according to the cross ratio invariability in projective transformation,
Thereby, solve
Coordinate; In another isosceles trapezoid
In also exist one group of hidden disappearing a little of quadrature, be designated as
,
, computing formula is
,
, can obtain
,
(3) solve camera intrinsic parameter
Utilization required hidden disappearing of six groups of quadratures in two width images a little can be listed six equations to the constraint of absolute conic, and linear solution goes out 5 intrinsic parameters, i.e. matrixes of video camera
,
For the distortion factor of image,
In image coordinate system
Axle
The scale factor of axle,
Being the principal point coordinate, is 5 intrinsic parameters of video camera.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210542006.2A CN102982550B (en) | 2012-12-14 | 2012-12-14 | Positive five terrace with edges are utilized to solve camera intrinsic parameter |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210542006.2A CN102982550B (en) | 2012-12-14 | 2012-12-14 | Positive five terrace with edges are utilized to solve camera intrinsic parameter |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102982550A true CN102982550A (en) | 2013-03-20 |
CN102982550B CN102982550B (en) | 2016-01-06 |
Family
ID=47856491
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210542006.2A Expired - Fee Related CN102982550B (en) | 2012-12-14 | 2012-12-14 | Positive five terrace with edges are utilized to solve camera intrinsic parameter |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102982550B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103983961A (en) * | 2014-05-20 | 2014-08-13 | 南京理工大学 | Three-dimensional calibration target for joint calibration of 3D laser radar and camera |
GB2557633A (en) * | 2016-12-14 | 2018-06-27 | Fuel 3D Tech Limited | Method of obtaining data characterizing 3D-imaging equipment |
CN108335333A (en) * | 2018-04-03 | 2018-07-27 | 哈尔滨理工大学 | A kind of linear camera scaling method |
CN110132132A (en) * | 2018-12-11 | 2019-08-16 | 中国航空工业集团公司北京长城计量测试技术研究所 | A kind of trapezoidal hexahedron standard of more bars |
CN110163922A (en) * | 2019-05-22 | 2019-08-23 | 四川深瑞视科技有限公司 | Fisheye camera calibration system, method, apparatus, electronic equipment and storage medium |
US11380016B2 (en) | 2019-05-22 | 2022-07-05 | Sichuan Visensing Technology Co., Ltd. | Fisheye camera calibration system, method and electronic device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020186897A1 (en) * | 2001-04-02 | 2002-12-12 | Korea Advanced Institute Of Science And Technology | Camera calibration system using planar concentric circles and method thereof |
CN102110290A (en) * | 2009-12-28 | 2011-06-29 | 云南大学 | Method for solving internal parameters of camera by using regular triangular prism as target |
CN102402785A (en) * | 2010-09-07 | 2012-04-04 | 云南大学 | Camera self-calibration method based on quadratic curves |
-
2012
- 2012-12-14 CN CN201210542006.2A patent/CN102982550B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020186897A1 (en) * | 2001-04-02 | 2002-12-12 | Korea Advanced Institute Of Science And Technology | Camera calibration system using planar concentric circles and method thereof |
CN102110290A (en) * | 2009-12-28 | 2011-06-29 | 云南大学 | Method for solving internal parameters of camera by using regular triangular prism as target |
CN102402785A (en) * | 2010-09-07 | 2012-04-04 | 云南大学 | Camera self-calibration method based on quadratic curves |
Non-Patent Citations (2)
Title |
---|
ZHENGYOU ZHANG等: "A flexible new technique for camera calibration", 《IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE》, vol. 22, no. 11, 30 November 2000 (2000-11-30), pages 1330 - 1334 * |
霍炬等: "基于消隐点几何特性的摄像机自标定方法", 《光学学报》, vol. 30, no. 2, 15 February 2010 (2010-02-15), pages 465 - 472 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103983961A (en) * | 2014-05-20 | 2014-08-13 | 南京理工大学 | Three-dimensional calibration target for joint calibration of 3D laser radar and camera |
GB2557633A (en) * | 2016-12-14 | 2018-06-27 | Fuel 3D Tech Limited | Method of obtaining data characterizing 3D-imaging equipment |
CN108335333A (en) * | 2018-04-03 | 2018-07-27 | 哈尔滨理工大学 | A kind of linear camera scaling method |
CN110132132A (en) * | 2018-12-11 | 2019-08-16 | 中国航空工业集团公司北京长城计量测试技术研究所 | A kind of trapezoidal hexahedron standard of more bars |
CN110132132B (en) * | 2018-12-11 | 2021-08-06 | 中国航空工业集团公司北京长城计量测试技术研究所 | Multi-rod trapezoidal hexahedron standard device |
CN110163922A (en) * | 2019-05-22 | 2019-08-23 | 四川深瑞视科技有限公司 | Fisheye camera calibration system, method, apparatus, electronic equipment and storage medium |
US11380016B2 (en) | 2019-05-22 | 2022-07-05 | Sichuan Visensing Technology Co., Ltd. | Fisheye camera calibration system, method and electronic device |
Also Published As
Publication number | Publication date |
---|---|
CN102982550B (en) | 2016-01-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102982550B (en) | Positive five terrace with edges are utilized to solve camera intrinsic parameter | |
CN103035007B (en) | Solving camera intrinsic parameters by using frustum of prism | |
CN104835144B (en) | The method for solving camera intrinsic parameter using the picture and orthogonality of the centre of sphere of a ball | |
CN102364299B (en) | Calibration technology for multiple structured light projected three-dimensional profile measuring heads | |
CN103106661B (en) | Two, space intersecting straight lines linear solution parabolic catadioptric camera intrinsic parameter | |
CN102930548B (en) | Utilize the intersecting elliptical linear solution camera intrinsic parameter that two identical | |
CN102930551B (en) | Camera intrinsic parameters determined by utilizing projected coordinate and epipolar line of centres of circles | |
CN102982551B (en) | Method for solving intrinsic parameters of parabolic catadioptric camera linearly by utilizing three unparallel straight lines in space | |
CN102136140B (en) | Rectangular pattern-based video image distance detecting method | |
CN109544628A (en) | A kind of the accurate reading identifying system and method for pointer instrument | |
CN103116892A (en) | Linear solving of video camera internal parameters by utilizing two intersected same circles and common tangent | |
CN103440638A (en) | Method for solving camera inner parameters by utilizing bimirror device and circular point characteristics | |
CN105513063A (en) | Calibration of parabolic refraction and reflection camera through Veronese mapping and checkerboard | |
KR20160117143A (en) | Method, device and system for generating an indoor two dimensional plan view image | |
CN103106662A (en) | Solving parabolic catadioptric camera parameters through one straight line in space | |
CN102999895B (en) | Method for linearly solving intrinsic parameters of camera by aid of two concentric circles | |
CN103942784A (en) | Method for solving parameters in parabolic catadioptric camera through three unparallel straight lines in checkerboard | |
CN103400374B (en) | The inference of bimirror device and Laguerre theorem is utilized to solve the method for camera intrinsic parameter | |
CN111968182B (en) | Calibration method for nonlinear model parameters of binocular camera | |
CN102999894B (en) | Method for linearly solving intrinsic parameters of camera by aid of two intersection circles | |
CN106023723A (en) | Educational toy set and convex mirror imaging correction method | |
CN104182986A (en) | Method for solving internal parameters of planar catadioptric video camera according to property of orthogonal vanishing point | |
CN103810697A (en) | Calibration of parabolic refraction and reflection vidicon internal parameters by utilizing four unparallel straight lines in space | |
CN202257686U (en) | Calibration object composed of two intersected circles and used for solving inner parameters of video camera | |
CN102982549B (en) | Two concentrically orthogonal with main shaft identical intersecting elliptical solve camera intrinsic parameter |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160106 Termination date: 20161214 |